World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
9382
World Ranking
10500
National Ranking
117

Jin Young Choi publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Jin Young Choi sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 198 publications — 46th percentile

46% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Jin Young Choi D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Jin Young Choi sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 37 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Jin Young Choi is affiliated with Seoul National University in South Korea and has contributed extensively to the fields of Computer Science and Engineering, with a particular focus on Computer Vision and Pattern Recognition and Artificial Intelligence. Their work spans multiple subfields, including Control and Systems Engineering, Aerospace Engineering, and Statistical and Nonlinear Physics.

The scientist's main research topics include Domain Adaptation and Few-Shot Learning, Anomaly Detection Techniques and Applications, Human Pose and Action Recognition, Video Surveillance and Tracking Methods, Advanced Image and Video Retrieval Techniques, Advanced Neural Network Applications, and Imbalanced Data Classification Techniques.

Jin Young Choi's recent publications demonstrate involvement in both theoretical and application-oriented research. Notable papers include:

  • The Majority Can Help the Minority: Context-rich Minority Oversampling for Long-tailed Classification, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Influence-Balanced Loss for Imbalanced Visual Classification, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Gaussian-response correlation filter for robust visual object tracking, 2020, Neurocomputing
  • Context-Based Parking Slot Detection With a Realistic Dataset, 2020, IEEE Access
  • AutoLR: Layer-wise Pruning and Auto-tuning of Learning Rates in Fine-tuning of Deep Networks, 2021, Proceedings of the AAAI Conference on Artificial Intelligence

The scientist frequently publishes in venues such as IEEE Access, arXiv (Cornell University), Proceedings of the AAAI Conference on Artificial Intelligence, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Their collaborations include repeated partnerships with Jongwon Choi, Byeongho Heo, Younghan Jeon, Youngmin Ro, and Dae Ung Jo, highlighting a network of co-authors involved in related research topics.

Best Publications

  • The Visual Object Tracking VOT2016 Challenge Results

    Matej Kristan;Aleš Leonardis;Jiři Matas;Michael Felsberg

  • The sixth visual object tracking VOT2018 challenge results

    Matej Kristan;Aleš Leonardis;Jiří Matas;Michael Felsberg

  • A Comprehensive Overhaul of Feature Distillation

    Byeongho Heo;Jeesoo Kim;Sangdoo Yun;Hyojin Park

  • Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning

    Unknown

  • Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons

    Byeongho Heo;Minsik Lee;Sangdoo Yun;Jin Young Choi

  • The Visual Object Tracking VOT2014 challenge results

    Matej Kristan;Roman P. Pflugfelder;Ales Leonardis;Jiri Matas

  • Attentional Correlation Filter Network for Adaptive Visual Tracking

    Jongwon Choi;Hyung Jin Chang;Sangdoo Yun;Tobias Fischer

  • Intelligent visual surveillance — A survey

    In Su Kim;Hong Seok Choi;Kwang Moo Yi;Jin Young Choi

  • Sensitivity analysis of multilayer perceptron with differentiable activation functions

    Jin Young Choi;Chong-Ho Choi

  • Context-Aware Deep Feature Compression for High-Speed Visual Tracking

    Jongwon Choi;Hyung Jin Chang;Tobias Fischer;Sangdoo Yun;Sangdoo Yun

  • Visual Tracking Using Attention-Modulated Disintegration and Integration

    Jongwon Choi;Hyung Jin Chang;Jiyeoup Jeong;Yiannis Demiris

  • Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning

    Jiwoong Park;Minsik Lee;Hyung Jin Chang;Kyuewang Lee

  • The Majority Can Help The Minority: Context-rich Minority Oversampling for Long-tailed Classification.

    Unknown

  • Adaptive observer backstepping control using neural networks

    Jin Young Choi;J.A. Farrell

  • Influence-Balanced Loss for Imbalanced Visual Classification

    Seulki Park;Jongin Lim;Younghan Jeon;Jin Young Choi

  • Adaptive nonlinear guidance law considering control loop dynamics

    Dongkyoung Chwa;Jin Young Choi

  • Detection of Moving Objects with Non-stationary Cameras in 5.8ms: Bringing Motion Detection to Your Mobile Device

    Kwang Moo Yi;Kimin Yun;Soo Wan Kim;Hyung Jin Chang

  • Knowledge Distillation with Adversarial Samples Supporting Decision Boundary

    Byeongho Heo;Minsik Lee;Sangdoo Yun;Jin Young Choi

  • Detection of moving objects with a moving camera using non-panoramic background model

    Soo Wan Kim;Kimin Yun;Kwang Moo Yi;Sun Jung Kim

  • Adaptive shadow estimator for removing shadow of moving object

    JinMin Choi;Yung Jun Yoo;Jin Young Choi

  • Nonlinear adaptive control using networks of piecewise linear approximators

    J.Y. Choi;J.A. Farrell

  • Context-aware Deep Feature Compression for High-speed Visual Tracking

    Jongwon Choi;Hyung Jin Chang;Tobias Fischer;Sangdoo Yun;Sangdoo Yun

  • Observer-based adaptive guidance law considering target uncertainties and control loop dynamics

    Dongkyoung Chwa;Jin Young Choi;S.G. Anavatti

  • Sliding mode tracking control of nonholonomic wheeled mobile robots

    DongKyoung Chwa;J.H. Seo;Pyojae Kim;Jin Young Choi

  • Action-Driven Visual Object Tracking With Deep Reinforcement Learning

    Sangdoo Yun;Jongwon Choi;Youngjoon Yoo;Kimin Yun

Frequent Co-Authors

Hyung Jin Chang
Hyung Jin Chang University of Birmingham
Sangdoo Yun
Sangdoo Yun Naver (South Korea)
Jay A. Farrell
Jay A. Farrell University of California, Riverside
Yiannis Demiris
Yiannis Demiris Imperial College London
Seong G. Kong
Seong G. Kong Sejong University
Nojun Kwak
Nojun Kwak Seoul National University
Kyoung Mu Lee
Kyoung Mu Lee Seoul National University
Kiyoung Choi
Kiyoung Choi Seoul National University
Tamer Basar
Tamer Basar University of Illinois at Urbana-Champaign
Seung-Ki Sul
Seung-Ki Sul Seoul National University

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